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Modelling information resources and their salience in medical device design

Lookup NU author(s): Professor Michael HarrisonORCiD


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The paper describes a model that includes an explicit description of the information resources that are assumedto guide use, enabling a focus on properties of ``plausible interactions''.The information resources supported by an interactive system should be designed to encourage thecorrect use of the system. These resources signpost a user's interaction, helping to achieve desired goals.Analysing assumptions about information resource support is particularly relevant when a system is {\em safety critical} that is when interaction failure consequences could be dangerous, or {\em walk-up-and-use} where interaction failure maylead to reluctance to use with expensive consequences. The paper shows that expressing these resource constraints still provides a wider set of behavioursthan would occur in practice. A resource may be more or less salient at a particular stage of the interaction and as a result potentially overlooked. For example, the resource may be accessible but not used because it does not seem relevantto the current goal. The paper describes how the resource framework can be augmented with additional information about the salienceof the assumed resources.A medical device that is in common use in many hospitals is used as illustration.

Publication metadata

Author(s): Harrison MD, Campos JC, Rimvydas R, Curzon P

Editor(s): K. Luyten and J.C. Campos

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Year of Conference: 2016

Pages: 194-203

Online publication date: 21/06/2016

Acceptance date: 12/03/2016

Publisher: ACM Press


DOI: 10.1145/2933242.2933250

Library holdings: Search Newcastle University Library for this item

Series Title: EICS '16 Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems

ISBN: 9781450343220